ArticleEuropean biophysics journal : EBJ2011
A fast and robust method for automated analysis of axonal transport.
Article in European biophysics journal : EBJ, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 19 citations in OpenAlex.
- Prior-Apprised Unsupervised Learning of Subpixel Curvilinear Features in Low Signal/Noise Images.Biophysical journal · 2020Article
- Analyzing Mitochondrial Transport and Morphology in Human Induced Pluripotent Stem Cell-Derived Neurons in Hereditary Spastic Paraplegia.Journal of visualized experiments : JoVE · 2020Article
- KymoAnalyzer: a software tool for the quantitative analysis of intracellular transport in neurons.Traffic (Copenhagen, Denmark) · 2017Article
- Automated Multi-Peak Tracking Kymography (AMTraK): A Tool to Quantify Sub-Cellular Dynamics with Sub-Pixel Accuracy.PloS one · 2016Article
- The antidepressant fluoxetine mobilizes vesicles to the recycling pool of rat hippocampal synapses during high activity.Molecular neurobiology · 2014Article
- The Ca2+ sensor protein swiprosin-1/EFhd2 is present in neurites and involved in kinesin-mediated transport in neurons.PloS one · 2014Article
- Computational analysis of axonal transport: a novel assessment of neurotoxicity, neuronal development and functions.International journal of molecular sciences · 2012Review
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5 authors at 2 institutions in 1 country.
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Abstract
Cargo movement along axons and dendrites is indispensable for the survival and maintenance of neuronal networks. Key parameters of this transport such as particle velocities and pausing times are often studied using kymograph construction, which converts the transport along a line of interest from a time-lapse movie into a position versus time image. Here we present a method for the automatic analysis of such kymographs based on the Hough transform, which is a robust and fast technique to extract lines from images. The applicability of the method was tested on simulated kymograph images and real data from axonal transport of synaptophysin and tetanus toxin as well as the velocity analysis of synaptic vesicle sharing between adjacent synapses in hippocampal neurons. Efficiency analysis revealed that the algorithm is able to detect a wide range of velocities and can be used at low signal-to-noise ratios. The present work enables the quantification of axonal transport parameters with high throughput with no a priori assumptions and minimal human intervention.
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